Dataset Information

Comparative analysis of biochemical parameters in diabetic and non-diabetic acute myocardial infarction patients.

ABSTRACT: Diabetes is a metabolic disorder characterized by enhanced production of free radicals hence oxidative stress. The aim of this study was to evaluate the activity of cardiac and antioxidant enzymes in diabetic and non-diabetic acute myocardial infarction (AMI) patients.This case-control study was conducted on 450 subjects (70-85 years). Subjects were divided into three groups (Normal, N; Non-diabetic AMI, N-AMI; and Diabetic AMI, D-AMI). Each individual was subjected to a detailed history, clinical examination, and cardiovascular parameters analysis (fasting blood sugar, HbA1c, systolic and diasystolic blood pressure, total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL), high-density lipoprotein (HDL), TC/HDL and LDL/HDL ratios). Cardiac markers (Troponin-I, creatine phosphokinase (CPK), creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), C-reactive protein (CRP) and aspartate aminotransferase (AST)) and oxidative stress markers (superoxide dismutase (SOD), malondialdehyde (MDA), glutathione (GSH), catalase (CAT)) were also assessed. All these parameters were compared between diabetic and non-diabetic AMI patients.D-AMI individuals had high level of TC, TG, LDL, and low level of HDL in comparison to N-AMI individuals. Study suggests that cardiac markers such as Troponin I, CPK, CK-MB, AST, LDH, and CRP levels were significantly increased in patients suffering from myocardial infarction with diabetes mellitus (DM) compared to patients of myocardial infarction without DM. The activity levels of antioxidant SOD and GSH were lower in D-AMI patients than in N-AMI. However, levels of MDA and CAT were higher in D-AMI than in N-AMI controls.Study suggests elevated cardiac markers and reduced antioxidants in D-AMI patients compared to N-AMI patients.

SUBMITTER: Ali F

PROVIDER: S-EPMC4911449 | biostudies-other | 2016 May-Jun

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Comparative analysis of biochemical parameters in diabetic and non-diabetic acute myocardial infarction patients.

Ali Fatima F Naqvi Syed Ali Shabaz SA Bismillah Mehwish M Wajid Nadia N

Indian heart journal 20160108 3

<h4>Background</h4>Diabetes is a metabolic disorder characterized by enhanced production of free radicals hence oxidative stress. The aim of this study was to evaluate the activity of cardiac and antioxidant enzymes in diabetic and non-diabetic acute myocardial infarction (AMI) patients.<h4>Methods</h4>This case-control study was conducted on 450 subjects (70-85 years). Subjects were divided into three groups (Normal, N; Non-diabetic AMI, N-AMI; and Diabetic AMI, D-AMI). Each individual was subj ...[more]

PMID: 27316485

Similar Datasets

Project description:Survivors of an acute myocardial infarction with diabetes mellitus retain an increased mortality risk. Reliable assessment of individual risk is required for effective and cost-efficient medical care in these patients. The Polyscore is a previously established risk predictor consisting of seven autonomic tests derived from electrocardiogram, blood pressure, and respiration. The Polyscore allows classification of survivors of myocardial infarction in groups at low, intermediate and high mortality risk. The aim of this study was to investigate the prognostic value of the Polyscore in diabetic survivors of acute myocardial infarction, which may be impaired by the presence of diabetic autonomic neuropathy. Survivors of an acute myocardial infarction were included in a prospective cohort study during hospitalisation due to the index event at two university hospitals in Munich, Germany. The Polyscore was determined from simultaneous non-invasive 30-min recordings of electrocardiogram, continuous arterial blood pressure, and respiration which were performed in all participants. Patients were followed for 5 years. The primary and secondary outcomes were all-cause mortality and cardiac mortality. 184 of 941 enrolled patients (19.6%) suffered from diabetes mellitus. 5-year-mortality was higher in diabetic patients (15.2%) compared to non-diabetic patients (5.8%). A multivariable Cox regression model confirmed the Polyscore as a strong predictor of mortality in diabetic post-MI patients (intermediate risk: HR 6.56, 95% CI 1.61-26.78, p = 0.004, mortality 22.8%; high risk: HR 18.76, 95% CI 4.35-80.98, p < 0.001, mortality 68.8%). There was no interaction between diabetes mellitus and the Polyscore regarding mortality prediction (p = 0.775). Interestingly, in contrast to the groups at intermediate and high risk (73 patients, 39.7%), the Polyscore identified a majority of diabetic patients (111, 60.3%) with a low mortality risk, comparable to that of low-risk non-diabetic patients (3.6% and 2.1%, respectively, p = 0.339). Consistent results were observed for cardiac mortality. This analysis shows that the Polyscore predicts all-cause and cardiac mortality in diabetic survivors of acute myocardial infarction. Within these patients it identifies a large population not affected by the excess mortality associated with diabetes in this setting. Thus, the Polyscore may facilitate risk-adapted follow-up strategies in diabetic survivors of myocardial infarction.

Project description:BackgroundAcute myocardial infarction (AMI) is regarded as an urgent clinical entity, and identification of differentially expressed genes, lncRNAs, and altered pathways shall provide new insight into the molecular mechanisms behind AMI.Materials and methodsMicroarray data was collected to identify key genes and lncRNAs involved in AMI pathogenesis. The differential expression analysis and gene set enrichment analysis (GSEA) were employed to identify the upregulated and downregulated genes and pathways in AMI. The protein-protein interaction network and protein-RNA interaction analysis were utilized to reveal key long noncoding RNAs.ResultsIn the present study, we utilized gene expression profiles of circulating endothelial cells (CEC) from 49 patients of AMI and 50 controls and identified a total of 552 differentially expressed genes (DEGs). Based on these DEGs, we also observed that inflammatory response-related genes and pathways were highly upregulated in AMI. Mapping the DEGs to the protein-protein interaction (PPI) network and identifying the subnetworks, we found that OMD and WDFY3 were the hub nodes of two subnetworks with the highest connectivity, which were found to be involved in circadian rhythm and organ- or tissue-specific immune response. Furthermore, 23 lncRNAs were differentially expressed between AMI and control groups. Specifically, we identified some functional lncRNAs, including XIST and its antisense RNA, TSIX, and three lncRNAs (LINC00528, LINC00936, and LINC01001), which were predicted to be interacting with TLR2 and participate in Toll-like receptor signaling pathway. In addition, we also employed the MMPC algorithm to identify six gene signatures for AMI diagnosis. Particularly, the multivariable SVM model based on the six genes has achieved a satisfying performance (AUC = 0.97).ConclusionIn conclusion, we have identified key regulatory lncRNAs implicated in AMI, which not only deepens our understanding of the lncRNA-related molecular mechanism of AMI but also provides computationally predicted regulatory lncRNAs for AMI researchers.

Dataset Information

Comparative analysis of biochemical parameters in diabetic and non-diabetic acute myocardial infarction patients.

Publications

Comparative analysis of biochemical parameters in diabetic and non-diabetic acute myocardial infarction patients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets